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Learned how to find or scrape information from networks and manipulate that information to display trends. This was done in Python using Google Colab's .ipynb environment. Libraries used were Pandas, NumPy, Seaborn, Scipy, Matplotlib, SkLearn, and FacebookProphet.

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DataWrangling

Where I learned how to find or scrape information from networks and manipulate that information to display trends. This was done in Python using Google Colab's .ipynb environment. Libraries used were Pandas, NumPy, Seaborn, Scipy, Matplotlib, SkLearn, and FacebookProphet.

Culmination Project pdfs

Report on Chinese Economic Influence in Africa.pdf

WebScraping Discussion.pdf

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Learned how to find or scrape information from networks and manipulate that information to display trends. This was done in Python using Google Colab's .ipynb environment. Libraries used were Pandas, NumPy, Seaborn, Scipy, Matplotlib, SkLearn, and FacebookProphet.

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